General Summary
Responsible for the development, implementation, and maintenance of a comprehensive data governance framework encompassing processes that pertain to the sourcing, management and consumption of data across all departments within the UMMC’s Office of Health Analytics and Informatics (OHAI). Expected to collaborate with Data & Analytics, Service Lines, Information Technology, the Office of the Chief Clinical Officer, Faculty Practice Group (FPI), Quality & Safety, Corporate Offices, and other key stakeholder groups to optimize data collection, aggregation, analysis, and utilization to improve quality of care, operational processes, and financial outcomes.
Will lead the data and analytic needs of UMMC across both campuses, the FPI and University of Maryland School of Medicine. OHAI’s offerings include clinical, financial, and quality reporting and analytics, on-demand reporting, self-service reporting, advanced analytics through Big Data solutions and platforms, data extracts, data governance, data integration, data management, data architecture, application integration, and web service integration.
Principal Responsibilities and Tasks
The following statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all job duties performed by personnel so classified.
THE MEDICAL HEART OF MARYLAND
Treating over 330,000 patients every year, the University of Maryland Medical Center is at the vital core of Maryland’s health care system and community. We’re known for our prestigious expertise in innovative research and education, along with the talented staff and advanced centers that make it all possible. The R Adams Cowley Shock Trauma Center, the world’s first center dedicated to trauma, treats more than 7,500 critically injured patients a year with an incredible 97 percent survival rate. We also have one of the nation’s largest kidney and pancreas transplant programs at The Joseph and Corinne Schwartz Division of Transplantation, home to Maryland’s first steroid-free protocol and pancreas/kidney transplant. From our National Cancer Institute-designated UM Marlene and Stewart Greenebaum Cancer Center to The University of Maryland’s Children’s Hospital, one of the largest pediatric centers in the state, we are dedicated to saving and transforming lives.
QualificationsEducation and Experience
Master’s Degree in Information Management, Data Science, Data Analytics, or a related field preferred.A minimum of 5 years relevant work experience in data quality management, information architecture, data analytics and informaticsDemonstrated experience in operationalizing data-based guidelines, policies, procedures and standardsUtilization of a data driven, process focused, outcome-oriented approach to clinical outcomes improvementPrior experience with one or more of the following transaction systems (Epic, McKesson, Lawson or similar enterprise transaction systems in other industries) preferred.Prior experience with using PL/SQL, JavaScript, and HTML in a working environmentKnowledge, Skills and Abilities
Understanding of data management technology, processes, and design principlesKnowledge of industry-leading data quality and data protection management practicesKnowledge of data-related government regulatory requirementsExperience in managing enterprise data assets in a large, complex healthcare organizationAbility to analyze complex problems and derive workable solutionsFlexibility to adjust to multiple demands, shifting priorities, and rapid changeUnderstanding of privacy laws and regulationsGood written and verbal communicationStrong relationship-building skillsAbility to operate within a diverse teamPossesses knowledge of user relations, data gathering techniques, and management information systems.Skilled in working with “real world” data including scrubbing, transformation, and imputation.Proven analytical skills: Able to analyze, compare, contrast, and validate work with keen attention to detailAbility to perform data discovery, exploration and interpretationSkilled in common data manipulation tasks such as reading CSV files, filtering contents, and producing output files in different formatsAbility to create, maintain and interrogate basic and relational databases from multiple sources including, but not limited to Quality, Clinical, Finance, Infection Control, Regulatory, etc.Demonstrated ability to develop database and interrogation projects with ongoing follow-upAdditional InformationAll your information will be kept confidential according to EEO guidelines.
Compensation
Pay Range: $73.83 - 90.69 Other Compensation (if applicable): MIP EligibleReview the 2024-2025 UMMS Benefits Guide